AI RESEARCH
Flying Pigs, FaR and Beyond: Evaluating LLM Reasoning in Counterfactual Worlds
arXiv CS.LG
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ArXi:2505.22318v2 Announce Type: replace-cross A fundamental challenge in reasoning is navigating hypothetical, counterfactual worlds where logic may conflict with ingrained knowledge. We investigate this frontier for Large Language Models (LLMs) by asking: Can LLMs reason logically when the context contradicts their parametric knowledge? To facilitate a systematic analysis, we first